here - Jean Pouget

Jean Pouget-Abadie
1094 Cambridge Street, Cambridge MA, 02139
B jean.pougetabadie (gmail) • Í http://jean.pouget-abadie.com
Education
Harvard University
PhD candidate in Computer Science. Advisor: Edoardo Airoldi, Salil Vadhan
Cambridge, MA
Fall 2014–present
Research focusing on causal inference and network interference. Courses focusing on machine learning and statistics.
Ecole Polytechnique
Diplôme d’ingénieur (M.S)
Paris, France
Spring 2011–Spring 2014
Courses focusing on machine learning, operations research, optimization, and economics
Research and teaching experience
Harvard University
Graduate Research Assistant, Supervisor: Edoardo Airoldi
Cambridge, MA
Fall 2015–Present
– Collaborated with LinkedIn’s experimentation team to launch a multi-level randomized experiment to test validity
of common A/B testing strategies.
– Suggested alternative estimators to improve estimation of the performance of People-You-May-Know algorithms.
Harvard University
Teaching Fellow, Course instructor: Finale Doshi-Velez
Cambridge, MA
Spring 2016
– Occupied Teaching Fellow role for CS181 Introduction to Machine Learning.
– Earned Certificate of Distinction from the Derek Bok Center for Teaching and Learning.
Facebook
Research intern, Core Data Science Team, Supervisor: Udi Weinsberg
Menlo Park, California
Summer 2015
– Designed algorithm for predicting privacy mistakes made by Facebook users
– Tested and launched machine learning model to 5% of all Facebook users
– Led research project focused on quantifying spam and commercial content on Instagram
MILA, Université de Montréal
Research intern, Supervisor: Yoshua Bengio
Montréal, Québec, Canada
Summer 2014
– Research on neural networks for French-English translation
– Research on neural network models for image generation
Publications and working papers
1: Pouget-Abadie, J. Saveski, M., Duan, W., Ghosh, S., Xu, Ya, Airoldi, E. Randomizing over randomized
experiments to test for interference, Working Paper
2: Basse, G., Pouget-Abadie, J., Tran, D., Xu, Y., Souvik, G., Airoldi, E. Elements of A/B testing for link
recommendation algorithms: key ideas, issues, and uncertainty quantification, Working Paper
3: Pouget-Abadie, J., Basse, G., Airoldi, E. Imputing the effect of bidder-auction matching algorithms, Working
Paper
4: Pouget-Abadie, J., Basse, G., Airoldi, E. Valid A/B tests for evaluating link recommendation algorithms, Working
Paper
5: Pouget-Abadie, J., Horel, T. Inferring Graphs from Cascades: A Sparse Recovery Framework, ICML 2015
6: Goodfellow, I., Pouget-Abadie, J., Mirza, M., Bing, X., Warde-Farley, D., Ozair, S., Courville, A. and Bengio,
Y. Generative Adversarial Networks, NIPS 2014
7: Pouget-Abadie, J., Bahdanau, D., van Merriënboer, B., Cho, K., and Bengio, Y. Overcoming the Curse of
Sentence Length for Neural Machine Translation using Automatic Segmentation, SSST-8@EMNLP 2014
Volunteering
Lycée Privé Ste Geneviève
Teaching assistant in English
Versailles, France
September–March 2013
Helped students prepare for the English entrance exam to Ecole Polytechnique
Misión Potosí
Micro-credit team leader
Potosí, Bolivia
Summer 2012
Led the micro-credit sector of a humanitarian mission in Bolivia, collaborating with local social workers
French Embassy of Bénin
Teaching assistant in Mathematics and Physics
Cotonou, Bénin
October–April 2012
Taught classes in mathematics and physics in Beninese high schools and universities
Languages
Languages: English (native), French (native), Spanish (professional working proficiency), Mandarin (basic),
Dutch (basic), Python (preferred), R (proficient), javascript/java/C++ (basic).